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Interorganizational knowledge networ...

Tang, Lu.

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Interorganizational knowledge networks: The case of the biotechnology industry.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Interorganizational knowledge networks: The case of the biotechnology industry./
Author:	Tang, Lu.
Description:	282 p.
Notes:	Adviser: Patricia Riley.
Contained By:	Dissertation Abstracts International68-10A.
Subject:	Business Administration, Management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3283578
ISBN:	9780549259213

Interorganizational knowledge networks: The case of the biotechnology industry.
Tang, Lu.

Interorganizational knowledge networks: The case of the biotechnology industry. - 282 p.

Adviser: Patricia Riley.

Thesis (Ph.D.)--University of Southern California, 2007.

We live in a knowledge society where intellectual capital is the main driving force of social development and wealth creation. The competitiveness of today's organization lies in its ability to create, transfer, assemble, integrate, protect, and exploit knowledge. This dissertation studies the interorganizational knowledge sharing in the biotech industry.

ISBN: 9780549259213Subjects--Topical Terms:

626628
Business Administration, Management.

Interorganizational knowledge networks: The case of the biotechnology industry.
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020 $a 9780549259213
035 $a (UMI)AAI3283578
035 $a AAI3283578
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100 1 $a Tang, Lu. $3 1271182
245 1 0 $a Interorganizational knowledge networks: The case of the biotechnology industry.
300 $a 282 p.
500 $a Adviser: Patricia Riley.
500 $a Source: Dissertation Abstracts International, Volume: 68-10, Section: A, page: 4141.
502 $a Thesis (Ph.D.)--University of Southern California, 2007.
520 $a We live in a knowledge society where intellectual capital is the main driving force of social development and wealth creation. The competitiveness of today's organization lies in its ability to create, transfer, assemble, integrate, protect, and exploit knowledge. This dissertation studies the interorganizational knowledge sharing in the biotech industry.
520 $a Despite the fact that interorganizational knowledge sharing is inherently a communication phenomenon, organizational communication literature has paid little attention to understanding the process of interorganizational knowledge sharing as a communicative process. This dissertation aims at further our understanding of interorganizational knowledge sharing in the biotech industry from an organizational communication approach. It develops a theory of knowledge network that explicates the characteristics of interorganizational knowledge sharing on both micro/individual and macro/organizational levels of analysis. Furthermore, it applies the knowledge network theory to interorganizational knowledge sharing in the booming biotech industry, a highly knowledge-intensive industry, by looking at how knowledge is shared and created in the process of academic-industry and industry-industry interactions.
520 $a This dissertation consists of two studies. Further, I used an interpretive approach to analyze the knowledge sharing behaviors, attitudes, and perceptions of those engaged in interorganizational knowledge sharing, especially in academic-industry knowledge sharing. Interviews supplemented with ethnographic observation offered insights into how different players in the knowledge sharing process: company executives, company scientists, academic scientists, and technology transfer specialists engage in and make sense of the academic-industry knowledge sharing in the biotech industry. Special attention was paid to understand how professional cultures affect the knowledge sharing attitudes and behaviors.
520 $a The second part of the dissertation looked beyond academic-industry knowledge sharing to study interorganizational knowledge sharing in a more general sense. Based on an analysis of existing literature and the findings of the interview study, I developed a theory of knowledge network identified two distinctive types of knowledge networks: interactive knowledge network and transactional knowledge network. Medtrack, an industry database that contains the information on the interorganizational ties in biotechnology sector from 1989 to 2007 was used to examine the proposed theory.
590 $a School code: 0208.
650 4 $a Business Administration, Management. $3 626628
650 4 $a Sociology, Organizational. $3 1018023
650 4 $a Speech Communication. $3 1017408
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710 2 $a University of Southern California. $b Communication: Doctor of Philosophy. $3 1026059
773 0 $t Dissertation Abstracts International $g 68-10A.
790 $a 0208
790 1 0 $a Fulk, Janet $e committee member
790 1 0 $a Mitroff, Ian $e committee member
790 1 0 $a Riley, Patricia, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3283578